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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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326597129 · Jun 202019922001200920172026
48 results for stationary area

We study surfaces in TN that are area-stationary with respect to a neutral Kaehler metric constructed on TN from a riemannian metric g on N. We show that holomorphic curves in TN are area-stationary, while lagrangian surfaces that are area-stationary are also holomorphic and hence totally null. However, in general, are…

2006-11-22abs ↗pdf ↗

We use variational arguments to introduce a notion of mean curvature for surfaces in the Heisenberg group H^1 endowed with its Carnot-Carathéodory distance. By analyzing the first variation of area, we characterize C^2 stationary surfaces for the area as those with mean curvature zero (or constant if a volume-preservin…

2005-12-23abs ↗pdf ↗

New theory for area of Legendrian surfaces, proving smoothness and variational results.

problem Understanding the area of Legendrian surfaces under constraints.
method Introducing PHSLVs, proving sequential compactness, regularity, and variational results.
result Generalized regularity theory for Legendrian surfaces, achieving variational minima.

We prove that every stationary polyhedral varifold minimizes area in the following senses: (1) its area cannot be decreased by a one-to-one Lipschitz ambient deformation that coincides with the identity outside of a compact set, and (2) it is the varifold associated to a mass-minimizing flat chain with coefficients in …

2019-11-30abs ↗pdf ↗

Compact theorem on Hamiltonian stationary submanifolds in symplectic manifolds.

problem Compactness of Hamiltonian stationary Lagrangian submanifolds in symplectic manifolds.
method Proving a compactness theorem with area and extrinsic curvature bounds.
result Uniform bounds on area and total extrinsic curvature lead to compactness of Hamiltonian stationary Lagrangian submanifolds.

We study Hamiltonian stationary Lagrangian surfaces in C^2, i.e. Lagrangian surfaces in C^2 which are stationary points of the area functional under smooth Hamiltonian variations. Using loop groups, we propose a formulation of the equation as a completely integrable system. We construct a Weierstrass type representatio…

2000-09-22abs ↗pdf ↗

The study finds instability conditions for specific surfaces in sub-Riemannian 3-space forms.

problem Stability of volume-preserving area-stationary surfaces with singular curves.
method Proof of stability inequality and sufficient conditions for instability.
result Conditions ensuring instability of specific surfaces in sub-Riemannian 3-space forms.

We consider the sub-Riemannian metric ghg_{h} on S3\mathbb{S}^3 provided by the restriction of the Riemannian metric of curvature 1 to the plane distribution orthogonal to the Hopf vector field. We compute the geodesics associated to the Carnot-Carathéodory distance and we show that, depending on their curvature, they …

2006-08-02abs ↗pdf ↗

Stationary measures on hyperbolic surfaces with cusps are singular and stable under quasi-symmetries.

problem Understanding stationary measures on hyperbolic surfaces with cusps.
method Analyzing exponential decay of cusp excursions and proving quasi-symmetry stability.
result Stationary measures on hyperbolic surfaces with cusps are quasi-symmetrically stable and singular.

We present the min-max construction of critical points of the area using penalization arguments. Precisely, for any immersion of a closed surface ΣΣ into a given closed manifold, we add to the area Lagrangian a term equal to the LqL^q norm of the second fundamental form of the immersion times a "viscosity" parameter. …

2015-08-28abs ↗pdf ↗

Model separates overall uncertainty into aleatoric and epistemic components for active learning.

problem Active learning with uncertainty quantification.
method Non-stationary Heteroscedastic Gaussian process model.
result Model separates overall uncertainty into aleatoric and epistemic components.

Lagrangian submanifolds of a Kaehler manifold are called Hamiltonian-stationary (or HH-stationary for short) if it is a critical point of the area functional restricted to compactly supported Hamiltonian variations. In [B. Y. Chen, F. Dillen, L. Verstraelen and L. Vrancken, Lagrangian isometric immersions of a real-sp…

2013-07-15abs ↗pdf ↗

Kernel-based tests detect dependencies in multivariate time series, including stationary and non-stationary data.

problem Detecting dependencies in multivariate time series data, especially non-stationary data.
method Kernel-based statistical tests of joint independence, extending dHSIC to handle both stationary and non-stationary processes.
result Robustly uncovers significant higher-order dependencies in synthetic and real-world data.

In this paper, we prove that for any closed 4-dimensional Riemannian manifold MM with trivial first homology group, if the Ricci curvature Ric3|Ric|\leq3, the diameter diam(M)Ddiam(M)\leq D and the volume vol(M)>v>0vol(M)>v>0, then the area of a smallest 2-dimensional stationary integral varifold in MM is bounded by F(v,D), for some…

2017-02-22abs ↗pdf ↗

We survey - by means of 20 examples - the concept of varifold, as generalised submanifold, with emphasis on regularity of integral varifolds with mean curvature, while keeping prerequisites to a minimum. Integral varifolds are the natural language for studying the variational theory of the area integrand if one conside…

2017-05-15abs ↗pdf ↗

New black hole solutions cannot be rotated without breaking their structure.

problem Proving certain static black hole solutions cannot be deformed into rotating black holes.
method Analyzing specific MKN solutions and proving their static rigidity.
result Proved that some static black hole solutions cannot be deformed into axisymmetric stationary black holes with angular momentum.

This article determines the spectral data, in the integrable systems sense, for all weakly conformally immersed Hamiltonian stationary Lagrangian in R4\R^4. This enables us to describe their moduli space and the locus of branch points of such an immersion. This is also an informative example in integrable systems geome…

2007-07-12abs ↗pdf ↗

Minimal surfaces in a Riemannian manifold MnM^n are surfaces which are stationary for area: the first variation of area vanishes. In this paper we focus on surfaces of the topological type of the real projective plane RP2\R P^2. We show that a minimal surface f:RP2M3f:\R P^2\to M^3 which has the smallest area, among those ma…

2013-08-27abs ↗pdf ↗

The study examines singularities in flows with curvature bounds and identifies unique tangent flows.

problem Analyzing singularities in mean curvature flows with curvature bounds.
method Examines tangent flows and uses stationary and area-minimizing cones to identify unique flows.
result For flows with HLLlocpH \in L^\infty L^p_{loc}, the tangent flow is unique when p=p = \infty and C\mathbf{C} is a regular cone.

Formula derived for spectral determinant of sphere with conical singularities.

problem Calculating the spectral determinant of a sphere with conical singularities.
method Explicit closed formula derived using zeta regularization and Liouville action.
result Metrics with equal conical angles are a stationary point of the determinant, and a minimum if surface area is small.

In this paper we consider a free boundary problem in the 3-dimensional Lorentz-Minkowski space ł3ł^3 which deals spacelike surfaces whose mean curvature is a linear function of the time coordinate and the boundary moves in a given support plane. We study spacelike surfaces that project one-to-one into a strip of the su…

2006-10-02abs ↗pdf ↗

Researchers use Gaussian processes with non-stationary kernels to model precipitation patterns in the Upper Indus Basin.

problem Uncertainty in precipitation patterns in the Upper Indus Basin, Himalayas.
method Proposes Gaussian processes with structured non-stationary kernels to model precipitation patterns, accounting for spatial variation with a latent Gaussian process.
result The proposed model adapts to varying precipitation patterns across distinct topography and outperforms stationary models in ablation experiments.

CREIMBO models diverse brain activity by identifying hidden neural sub-circuits and their non-stationary interactions.

problem Lack of alignment in neural recordings limits analysis of brain-wide dynamics.
method CREIMBO learns a unified model of neural dynamics by assuming multiple hidden global sub-circuits representing ensemble interactions.
result CREIMBO discovers session-specific neural ensembles and their non-stationary interactions, revealing cross-subject neural mechanisms.

Consider a 2-plane PCnP \subset \mathbb{C}^n and let DD be a bounded region in PP with a piecewise-smooth boundary. Let I(D)I(D) be the infimum of areas of all piecewise-smooth isotropic surfaces in Cn\mathbb{C}^n with the same boundary as DD. Then I(D)=λPnArea(D)I(D)= λ_P^n \cdot Area(D). If PP is not complex, $λ_P^n < \frac{3π}{…

2004-09-17abs ↗pdf ↗

Hardt-Simon proved that every area-minimizing hypercone C\mathbf{C} having only an isolated singularity fits into a foliation of Rn+1\mathbb{R}^{n+1} by smooth, area-minimizing hypersurfaces asymptotic to C\mathbf{C}. In this paper we prove that if a stationary nn-varifold MM in the unit ball $B_1 \subset \mathbb{R}^…

2019-10-01abs ↗pdf ↗

Upper bound found for minimal area in Einstein 4-manifolds.

problem Finding the smallest area of a 2D varifold in closed Einstein 4-manifolds.
method Using homological filling functions and quantitative Sobolev and ε-regularity constants for Einstein metrics.
result An upper bound A(M,g)FEin(v,D)A(M,g) \leq F_{Ein}(v,D) for the area of 2D varifolds in Einstein 4-manifolds.

This work develops discrete Gaussian models for vector-valued data on triangular meshes.

problem Discrete representation of continuous vector-valued environmental data.
method Develops discrete intrinsic Gaussian processes for vector-valued data on triangular meshes using discrete differential operators.
result Models can capture harmonic flows, incorporate boundary conditions, and model non-stationary data.

The paper studies Möbius energy gradient of helix pairs and finds limiting behavior as coiling ratio increases.

problem Characterizing the limiting behavior of Möbius energy gradient for symmetric helix pairs.
method Complex asymptotics
result The gradient diverges in opposing directions based on radius, approaching 1/2 as coiling ratio increases.

Non-exhaustive learning (NEL) is an emerging machine-learning paradigm designed to confront the challenge of non-stationary environments characterized by anon-exhaustive training sets lacking full information about the available classes.Unlike traditional supervised learning that relies on fixed models, NEL utilizes se…

2019-08-26abs ↗pdf ↗

A novel GPDA method for high-dimensional functional data.

problem Classification and feature selection challenges in high-dimensional, non-stationary functional data.
method Unified two-layer non-stationary Gaussian process with Ising prior for variable selection and classification.
result Demonstrated superior performance on simulated and proteomics datasets.